Story on Water Bodies

Talari Venkata Sunny , IIT Gandhinagar, sunny.s@iitgn.ac.in

Mekala Rishitha Ravi , IIT Gandhinagar, ravi.mekala@iitgn.ac.in

Abhinav Kumar , IIT Gandhinagar, abhinav.kumar@iitgn.ac.in

Introduction:

The study highlights the land use analysis of the Tamil Nadu state of India that substantially showed decline in lakes and tanks of the city due to urbanization process. As a result of rapid urbanization, many of the water bodies have been lost and some are totally polluted. Land use analysis was done to show the changes in four major categories- urban, vegetation, water bodies and others that revealed drastic increase in urban category with sharp decline in the water bodies.

Government measures for water bodies in Tamil Nadu

Public Works Department has been serving for the past 159 years in the construction and maintenance of Irrigation of structures and Government Buildings, massive structures and monuments stand as testimony to our engineering skill.

The water for delta irrigation released from Mettur dam reaches the Grand Anicut situated at Thogur village in Thiruvaiyaru Taluk of Thanjavur District. At Grand Anicut the water has been regulated and distributed to Cauvery, Vennar, Grand Anicut Canal and Coleroon rivers by the divisions of Lower Cauvery Basin circle Thanjavur to irrigate the command area of 4,53,046 acres. During floods the storm water is being diverted to the Coleroon river, the flood carrier, in the Grand Anicut and their by the irrigation systems of Cauvery, Vennar, Grand Anicut Canal are kept intact without any damages.

There was a time when life was centred around waterbodies. Those days are history. As times changed, people lost their connection with waterbodies, leaving them to shrink. As regards Thanjavur district, which has the maximum waterbodies, almost 86 per cent of them are full to the brim. Of the 559 lakes and tanks in the district, as many as 479 are 100 per cent full while 60 waterbodies are 90 to 100 per cent full.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly.express as px

import plotly
plotly.offline.init_notebook_mode() 
# import matplotlib.pyplo

# !pip install matplotlib

data = pd.read_csv("C:/Users/VENKATA SUNNY/Desktop/New folder/writing-assignment-rishitha_sunny_abhinav/_notebooks/data/tankponds.csv")

data.sample(5)

	Type	Name of the Region	No. of Tanks	No. of Ponds	No. of Ooranis	Other Water Bodies if any	Total No. of Water Bodies	How many No. of Water Bodies under the Direct Control of the Municipality / Corporation as per Survey Records	How many under the Control of the PWD as per Survey Records	How many under the Control of the Revenue Dept. as per Survey Records	How many under the Control of the Panchayat Union as per Survey Records	How many under the Control of the HR and CE Dept. as per Survey Records	How many under the Control of other Dept. Fisheries etc. as per Survey Records / as per other records or documents	Any other remarks relevant to the issue
4	Corporations	Trichy	30	0	1	18	49	10	24	4	0	10	1	0
8	Corporations	Vellore	11	20	1	0	32	19	6	6	0	1	0	0
2	Corporations	Salem	13	0	0	0	13	2	0	9	0	1	1	0
0	Corporations	Tiruppur	8	23	0	0	31	0	5	26	0	0	0	0
13	Municipalities and Others	Thanjavur	547	117	7	59	730	276	97	171	6	168	12	0

required_column_totalwaterbodies=["Name of the Region","No. of Tanks","No. of Ponds","No. of Ooranis","Other Water Bodies if any","Total No. of Water Bodies"]
totalwaterbodies=data.dropna(subset=required_column_totalwaterbodies)

totalwaterbodies.sort_values("Total No. of Water Bodies")

	Type	Name of the Region	No. of Tanks	No. of Ponds	No. of Ooranis	Other Water Bodies if any	Total No. of Water Bodies	How many No. of Water Bodies under the Direct Control of the Municipality / Corporation as per Survey Records	How many under the Control of the PWD as per Survey Records	How many under the Control of the Revenue Dept. as per Survey Records	How many under the Control of the Panchayat Union as per Survey Records	How many under the Control of the HR and CE Dept. as per Survey Records	How many under the Control of other Dept. Fisheries etc. as per Survey Records / as per other records or documents	Any other remarks relevant to the issue
3	Corporations	Thoothukudi	2	3	0	0	5	4	0	0	0	1	0	0
2	Corporations	Salem	13	0	0	0	13	2	0	9	0	1	1	0
1	Corporations	Erode	8	4	0	3	15	11	1	2	0	1	0	0
0	Corporations	Tiruppur	8	23	0	0	31	0	5	26	0	0	0	0
8	Corporations	Vellore	11	20	1	0	32	19	6	6	0	1	0	0
10	Municipalities and Others	Tiruppur	3	8	0	37	48	35	7	4	0	1	0	1
4	Corporations	Trichy	30	0	1	18	49	10	24	4	0	10	1	0
5	Corporations	Tirunelveli	64	0	1	0	65	0	62	0	3	0	0	0
7	Corporations	Madurai	45	6	26	0	77	25	45	1	0	6	0	0
15	Municipalities and Others	Salem	40	41	3	0	84	7	33	2	35	7	0	0
6	Corporations	Coimbatore	15	39	22	18	94	8	86	0	0	0	0	0
14	Municipalities and Others	Madurai	34	15	81	1	131	69	17	35	1	7	0	2
11	Municipalities and Others	Vellore	95	37	6	15	153	24	23	91	4	9	2	0
12	Municipalities and Others	Tirunelveli	60	91	39	6	196	29	114	20	2	21	2	8
16	Municipalities and Others	Chengalpattu	94	89	1	16	200	44	25	31	26	74	0	0
9	Corporations	Total-Corporations	196	95	51	39	381	79	229	48	3	20	2	0
13	Municipalities and Others	Thanjavur	547	117	7	59	730	276	97	171	6	168	12	0
17	Municipalities and Others	Total-Municipalities and Others	873	398	137	134	1542	484	316	354	74	287	16	11

totalwaterbodies[['Name of the Region', 'Total No. of Water Bodies']].sample(8)

	Name of the Region	Total No. of Water Bodies
1	Erode	15
17	Total-Municipalities and Others	1542
14	Madurai	131
0	Tiruppur	31
12	Tirunelveli	196
9	Total-Corporations	381
11	Vellore	153
3	Thoothukudi	5

fig= px.bar(totalwaterbodies, x = "Name of the Region", y = "Total No. of Water Bodies")
fig.show()

fig= px.bar(totalwaterbodies, x = "Name of the Region", y = "No. of Tanks")
fig.show()

fig= px.bar(totalwaterbodies, x = "Name of the Region", y = "No. of Ponds")
fig.show()

fig= px.bar(totalwaterbodies, x = "Name of the Region", y = "No. of Ooranis")
fig.show()